{"id":3024497,"url":"https://alion.io/job/shellkode-engineering-delivery-manager","title":"Engineering Delivery Manager","company":{"id":2962679,"name":"Shellkode","domain":"shellkode.com","url":"https://alion.io/company/shellkode","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Product","role_family":"Product","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Jira","optional":false},{"name":"Kanban","optional":false},{"name":"Kubernetes","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false}],"status":"live","first_seen_at":"2026-10-21T18:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-21T18:35:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"The core responsibilities for the job include the following:\n\nEngineering Delivery Manager: \nTrack and report delivery health metrics (project health, velocity, defect rates, SLA adherence, schedule, and cost) and take corrective action proactively.\nEnsure technical deliverables align with the architectural guidelines of the BU.\nContinuously improve delivery playbooks focused on efficiency, delivery quality, and cost optimization\n\nTechnical Leadership and Solutioning: \nProvide hands-on guidance on architecture, engineering decisions, and problem resolution.\nDrive design and code reviews, technical spike evaluations, and proof-of-concept initiatives where needed.\nChampion engineering excellence, CI/CD practices, automated testing, DevSecOps, and platform reliability within all BU projects.\nServe as an escalation point for technical blockers and engineering challenges across BU projects.\n\nPre-Sales and Solution Engineering Support: \nPartner actively with the pre-sales teams in contributing to technical solutioning for new opportunities within the BU's domain.\nContribute to the creation of technical proposals, solution architecture documents, effort estimates, and BOM/BOQ for RFPs and RFIs.\nParticipate in technical discussions and solution presentations with prospective clients, articulating the engineering approach and delivery methodology.\nContribute to reusable solution accelerators, reference architectures, and delivery playbooks that strengthen ShellKode's pre-sales assets.\nProvide domain-specific inputs to the BU Head and Client Delivery Director on capability gaps vs. pipeline demand.\n\nResource and Capacity Management: \nManage the engineering talent pool within the BU allocation, utilization tracking, bench management, and skills inventory.\nWork with the BU Head to plan hiring, upskilling, and certification roadmaps aligned to the BU's delivery pipeline and technology roadmap.\nEnsure optimal resource deployment across BU projects, balancing load and mitigating single points of failure.\nMentor and develop project leads, tech leads, and senior engineers within the BU.\n\nRisk and Issue Management: \nProactively identify, assess, and communicate technical and delivery risks across all BU projects throughout the project lifecycle.\nDevelop and drive mitigation and contingency plans for delivery risks, technical debt, and engineering bottlenecks.\nEscalate unresolved risks and cross-BU dependencies to the BU Head and dotted line to the Client Delivery Director.\n\nGovernance and Reporting: \nProvide regular delivery status reports to the BU Head covering project health, risks, resource utilization, and financial status.\nParticipate in cross-functional governance forums with the Client Delivery Director to ensure BU delivery aligns with broader organizational commitments.\nMaintain delivery documentation standards: project plans, RAID logs, release notes, and retrospective action items.\nCoordinate with client delivery managers on projects that span multiple BUs, providing engineering context and technical inputs as needed.\n\nFinancial Management: \nTrack and manage project financials within the BU, including budget utilization, effort actuals vs. estimates, and cost optimization.\nEnsure timely project milestone sign-offs and handoffs that support accurate invoicing and revenue recognition.\nIdentify opportunities to improve delivery efficiency and reduce cost-to-deliver within the BU.\n\nRequirements: \nMinimum 10 years of experience in the software/technology services industry.\nMinimum 4 years in a hands-on technical delivery AND engineering leadership role within cloud, data, or AI/ML domains.\nProven track record of simultaneously managing multiple complex engineering projects within a single technology domain/BU.\nExperience managing technical leads and project managers in driving project outcomes\n\nTechnical Depth: \nHands-on experience in at least one of the following domains:\nCloud Engineering: AWS / Azure / GCP architecture, cloud-native development, infrastructure-as-code, FinOps\nData Engineering: Data platforms, migrations, lakehouses, pipelines, dbt, streaming architectures\nAI / GenAI / ML: Agentic AI, LLMs, RAG pipelines, MLOps, model evaluation, AI platform engineering\nSound understanding of DevSecOps, CI/CD toolchains, containerization (Docker/Kubernetes), and modern SDLC practices.\nAbility to review and guide technical design documents, architecture diagrams, and engineering approaches, not just delivery plans.\n\nPre-Sales and Solutioning Ability: \nExperience contributing to or leading technical proposals, RFP responses, and solution architecture for client pursuits.\nAbility to size and estimate complex engineering engagements' effort, timelines, team structure, and risk.\nComfortable presenting technical solutions to internal stakeholders and, when needed, to prospective clients alongside the sales team.\n\nDelivery Management: \nProven expertise in Waterfall, Iterative-Waterfall, Agile, Scrum, or Kanban delivery methodologies; experience with tools like Jira, Azure DevOps, or similar.\nStrong command of delivery metrics, KPIs, and data-driven project management.\nDemonstrated ability to manage resources, budgets, and delivery risk across a portfolio of projects.\n\nLeadership and People Management: \nAbility to lead, coach, and grow technical teams, including tech leads, architects, and senior engineers within a fast-paced delivery environment.\nStrong influencing and conflict-resolution skills, particularly in a matrixed reporting structure.\nExperience working closely with BU leadership to align engineering capacity with business goals.\n\nCommunication and Stakeholder Management: \nStrong written and verbal communication skills, with the ability to translate complex technical matters into business-clear language for leadership.\nComfortable driving internal delivery governance reviews with the BU Head and participating in executive reviews with the Client Delivery Director.\nExperience coordinating with CDMs, sales, and pre-sales teams on cross-functional deliverables.\n\nOther Requirements: \nMust be willing to work full-time out of the ShellKode Bangalore office for the first 3 months.\nWillingness to travel to client sites or other ShellKode offices as needed for pre-sales, delivery reviews, or team engagements.\nRelevant certifications in the BU domain are strongly preferred (e. g., AWS/Azure/GCP)\nProfessional, Databricks, Google Cloud Data, GCP ML/AI, CKA.\nPMP, PMI-ACP, or equivalent delivery management certification is a plus.\nSkills\nAI, AWS, Azure, Databricks, DevSecOps, Docker, GCP, Jira, Kubernetes, ML, MLOps, cloud, data, dbt","description_format":"text","description_chars":6638,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-21T18:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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